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Creativity in Asynchronous Virtual Teams: Putting the Pieces Together Rosalie J. Ocker Pennsylvania State University
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Creativity in asynch VTs 3 related experiments, involving nearly 100 teams and 400 graduate students 3 related experiments, involving nearly 100 teams and 400 graduate students Key finding: Asynchronous VTs Asynchronous VTs significantly more creative than teams that had some FtF communication 4 studies conducted to explore this finding -- each from a different perspective. 4 studies conducted to explore this finding -- each from a different perspective.
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Individual Member Personality (Study 1) Ocker, 2008 Team Composition Status effects (Study 2) Ocker, 2007 Team Interaction Communication Content (Study 3) Ocker & Fjermestad, 2008 (expanded version) Interaction Influences (Study 4) Ocker, 2005 Input ProcessOutput Four Studies in Terms of the Input-Process-Output Model Team Creativit y
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Table 1. Comparison of Experiments 1, 2 & 3 Experiment 1 (extended)* (Ocker et al., 1996, 1998) Experiment 2 (Ocker & Fjermestad, 1998) Experiment 3 (Ocker, 2001) Length (days) 141417 subjects graduate students from NJIT (CIS and IS) same graduate students from PSU (MBA and MSIS) computer conferencing system EIES2 Web-EIES (EIES2 base with a web user interface) FirstClass experimental task Automated Post Office Computerized Post Office same
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Study 1: Personality Facets Looks at impact of individual personality facets on team creativity Looks at impact of individual personality facets on team creativity A positivist study of 10 asynchronous teams in Experiment 3 A positivist study of 10 asynchronous teams in Experiment 3 Research questions: Research questions: Do individual member personalities predict virtual team creativity? Do individual member personalities predict virtual team quality?
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Neuroticism Anxiety (c,+) Hostility Depression Self-Consciousness Impulsiveness Vulnerability to Stress Extraversion Warmth Gregariousness Assertiveness (c,+) Activity Excitement Seeking Positive Emotion Openness Fantasy Aesthetics Feelings Actions Ideas (c,+) Values Agreeableness Trust (q,-) Straightforwardness Altruism Compliance Modesty Tender-mindedness Conscientiousness Competence Order Dutifulness Achievement (c,-) Striving Self-Discipline Deliberate (q,+) Personality traits – 5 factors, each with multiple facets
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Results of Regression Analysis Creativity an individual who is: imaginative and original thinker imaginative and original thinker enthusiastically expresses ideas (without being over- bearing) enthusiastically expresses ideas (without being over- bearing) more concerned with ideas than project grade more concerned with ideas than project grade Quality an individual who is: deliberate, thorough and careful deliberate, thorough and careful not terribly trusting of teammates-- rely on self to complete project work rather than on team members not terribly trusting of teammates-- rely on self to complete project work rather than on team members
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Study 2: Status Effects of Team Composition Dominance Dominance key inhibitor of VT creativity (Study 4) Qualitative analysis Qualitative analysis 8 mixed-sex asynch teams from Exp. 3 Research question: Research question: How is dominance manifested in virtual teams?
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Dominance when a member has undue influence over the team’s processes or work product. when a member has undue influence over the team’s processes or work product. often stems from an individual’s status, which can be broadly defined as ‘a position in a social network’ often stems from an individual’s status, which can be broadly defined as ‘a position in a social network’
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Results: 5 teams experienced dominance Dominant member first to contribute a significant amount of task-related content first to contribute a significant amount of task-related content then proceeded to control the key content development then proceeded to control the key content development belonged to the team’s majority sex belonged to the team’s majority sex in teams where females were majority in teams where males were majority
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Dominance and its absence driven by a combination of status traits driven by a combination of status traits age seniority, work experience seniority, and expertise in 4 dominated teams in 4 dominated teams these status traits belonged to dominant member; absent in the other members. in 3 non-dominated teams in 3 non-dominated teams status markers were counter-balanced across multiple members
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Study 3 Communication Content Communication Content Jerry’s presentation
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Study 4: Influences on Team Creativity (Team Interaction) Qualitative analysis of 10 asynch teams from Experiment 3 Research question: What influences the creative performance of asynchronous virtual teams? What influences the creative performance of asynchronous virtual teams?
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Enhancers Stimulating Colleagues Variety of Social Influences NO routines of interaction, such as habitual agreement or disagreement Collaboration on Problem Definition multiple members involved in defining the concept and requirements Surface-Reduce Equivocality converged through a process of coming to terms with divergent perspectives
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Individual Personality Facets (+) Assertive (+) Ideas (+) Anxiety (-) Achievement Team Composition Status effects (-) Age (-) Work Experience (-) Expertise (+) counter-balance Team Interaction Communication Content (+) Critical Debate Team Interaction Inhibitors (-) Dominance (-) Domain Knowledge (-) External Reward (-) Time Pressure (-) Downward Norm (-) Structured Approach (-) Technical Problems (-) Lack Shared Understanding (-) Non-stimulating Colleagues Team Interaction Enhancers (+) Stimulating Colleagues (+) Variety of Social Influences (+) Collaboration on Problem Def. (+) Surface-Reduce Equivocality Team Creativity
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Study References Ocker, R. J. (2007). Creativity in Asynchronous Virtual Teams: Putting the Pieces Together. In Higher Creativity for Virtual Teams: Developing Platforms for Co-Creation. T. Torres and S. MacGregor (Eds.), Hershey: Idea Group, pp. 26-47. Ocker, R. J. (2007). Creativity in Asynchronous Virtual Teams: Putting the Pieces Together. In Higher Creativity for Virtual Teams: Developing Platforms for Co-Creation. T. Torres and S. MacGregor (Eds.), Hershey: Idea Group, pp. 26-47. Ocker, R. J. (2008). Exploring the Impact of Personality on Virtual Team Creativity and Quality. In Encyclopedia of E-Collaboration, Ned Kock (Ed.), Hershey: Idea Group. Ocker, R. J. (2008). Exploring the Impact of Personality on Virtual Team Creativity and Quality. In Encyclopedia of E-Collaboration, Ned Kock (Ed.), Hershey: Idea Group. Ocker, R. J. (2007). A Balancing Act: The Interplay of Status Effects on Dominance in Virtual Teams, IEEE Transactions on Professional Communication, 50, 3, 1-15. Ocker, R. J. (2007). A Balancing Act: The Interplay of Status Effects on Dominance in Virtual Teams, IEEE Transactions on Professional Communication, 50, 3, 1-15. Ocker, R. J. (2005). Influences on Creativity in Asynchronous Virtual Teams: A Qualitative Analysis of Experimental Teams, IEEE Transactions on Professional Communication, 48, 1, 22-39. Ocker, R. J. (2005). Influences on Creativity in Asynchronous Virtual Teams: A Qualitative Analysis of Experimental Teams, IEEE Transactions on Professional Communication, 48, 1, 22-39. Ocker, R.J. and Fjermestad, J. (2008). “Communication Differences in Virtual Design Teams: Findings from a Multi-Method Analysis of High and Low-performing Experimental Teams,” The DATA BASE for Advances in Information Systems. Ocker, R.J. and Fjermestad, J. (2008). “Communication Differences in Virtual Design Teams: Findings from a Multi-Method Analysis of High and Low-performing Experimental Teams,” The DATA BASE for Advances in Information Systems.
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Experiment References Ocker, R. J. (1995). Requirements definition using a distributed asynchronous group support system: Experimental results on quality, creativity and satisfaction. Unpublished doctoral dissertation, Rutgers University, New Jersey. Ocker, R. J. (1995). Requirements definition using a distributed asynchronous group support system: Experimental results on quality, creativity and satisfaction. Unpublished doctoral dissertation, Rutgers University, New Jersey. Ocker, R. J., Hiltz, S. R., Turoff M., & Fjermestad, J. (1996). The effects of distributed group support and process structuring on software requirements development teams, Journal of Management Information Systems, 12(3), 127-154. Ocker, R. J., Hiltz, S. R., Turoff M., & Fjermestad, J. (1996). The effects of distributed group support and process structuring on software requirements development teams, Journal of Management Information Systems, 12(3), 127-154. Ocker, R. J., Fjermestad, J., Hiltz, S. R., & Johnson, K. (1998). Effects of four modes of group communication on the outcomes of software requirements determination, Journal of Management Information Systems, 15(1), 99-118. Ocker, R. J., Fjermestad, J., Hiltz, S. R., & Johnson, K. (1998). Effects of four modes of group communication on the outcomes of software requirements determination, Journal of Management Information Systems, 15(1), 99-118. Ocker, R. J. & Fjermestad, J. (1998). Web-based computer-mediated communication: An experimental investigation comparing three communication modes for determining software requirements. Proceedings of the Thirty-First Hawaii International Conference on System Sciences, (HICSS-31; IEEE Computer Society, CD ROM), Hawaii, January. Ocker, R. J. & Fjermestad, J. (1998). Web-based computer-mediated communication: An experimental investigation comparing three communication modes for determining software requirements. Proceedings of the Thirty-First Hawaii International Conference on System Sciences, (HICSS-31; IEEE Computer Society, CD ROM), Hawaii, January. Ocker. R. J. (2001). The relationship between interaction, group development, and outcome: A study of virtual communication. Proceedings of the Thirty-Fourth Hawaii International Conference on System Sciences (HICSS-34; IEEE Computer Society, CD ROM), Hawaii, January. Ocker. R. J. (2001). The relationship between interaction, group development, and outcome: A study of virtual communication. Proceedings of the Thirty-Fourth Hawaii International Conference on System Sciences (HICSS-34; IEEE Computer Society, CD ROM), Hawaii, January.
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Study One Method Data Set: 47 participants from the 10 asynchronous teams in Experiment 3 Data Set: 47 participants from the 10 asynchronous teams in Experiment 3 Personality measure (indiv): The Adjective Check List (ACL) Personality measure (indiv): The Adjective Check List (ACL) Creativity measure (team): objective measure of creativity based on unique ideas from team reports Creativity measure (team): objective measure of creativity based on unique ideas from team reports Quality measure (team): 2 judges measured the quality of each team’s solution in team report Quality measure (team): 2 judges measured the quality of each team’s solution in team report
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Study Two Analysis Level of analysis: data for this study have a multilevel structure -- participants nested within teams; variables describing participants (personality traits) and variables describing teams (creativity and quality). data for this study have a multilevel structure -- participants nested within teams; variables describing participants (personality traits) and variables describing teams (creativity and quality). lack of independence and the potential for a team or group effect (Gallivan & Bebunan-Fich, 2005). lack of independence and the potential for a team or group effect (Gallivan & Bebunan-Fich, 2005). Tested for a group effect – none, so an analysis at the individual member level was permissible. Tested for a group effect – none, so an analysis at the individual member level was permissible.
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Personality traits Personality traits distinguish individuals from each other Personality traits distinguish individuals from each other 5 broad factors of personality traits 5 broad factors of personality traits extraversion, openness, agreeableness, conscientiousness, and neuroticism Each factors has multiple personality facets associated with it. Each factors has multiple personality facets associated with it. Each personality facet includes Each personality facet includes a common ‘portion’ attributable to the associated factor a portion attributable to that particular facet.
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